Dataset statistics
| Number of variables | 16 |
|---|---|
| Number of observations | 29 |
| Missing cells | 20 |
| Missing cells (%) | 4.3% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 3.6 KiB |
| Average record size in memory | 126.2 B |
Variable types
| Categorical | 1 |
|---|---|
| Numeric | 15 |
Total Number of Road Accidents (in numbers) is highly correlated with Total Number of Persons Killed (in numbers) and 11 other fields | High correlation |
Total Number of Persons Killed (in numbers) is highly correlated with Total Number of Road Accidents (in numbers) and 11 other fields | High correlation |
Total Number of Persons Injured (in numbers) is highly correlated with Total Number of Road Accidents (in numbers) and 11 other fields | High correlation |
Population of India (in thousands) is highly correlated with Total Number of Road Accidents (in numbers) and 11 other fields | High correlation |
Total Number of Registered Motor Vehicles (in thousands) is highly correlated with Total Number of Road Accidents (in numbers) and 10 other fields | High correlation |
Road Length (in kms) is highly correlated with Total Number of Road Accidents (in numbers) and 12 other fields | High correlation |
Number of Accidents per Lakh Population is highly correlated with Total Number of Road Accidents (in numbers) and 11 other fields | High correlation |
Number of Accidents per Ten Thousand Vehicles is highly correlated with Total Number of Road Accidents (in numbers) and 12 other fields | High correlation |
Number of Accidents Per Ten Thousand Kms of Roads is highly correlated with Total Number of Registered Motor Vehicles (in thousands) and 2 other fields | High correlation |
Number of Persons Killed Per Lakh Population is highly correlated with Total Number of Road Accidents (in numbers) and 11 other fields | High correlation |
Number of Persons Killed Per Ten Thousand Vehicles is highly correlated with Total Number of Road Accidents (in numbers) and 12 other fields | High correlation |
Number of Persons Killed per Ten Thousand Kms of Roads is highly correlated with Total Number of Road Accidents (in numbers) and 12 other fields | High correlation |
Number of Persons Injured per Lakh Population is highly correlated with Total Number of Road Accidents (in numbers) and 11 other fields | High correlation |
Number of Persons Injured Per Ten Thousand Vehicles is highly correlated with Total Number of Road Accidents (in numbers) and 12 other fields | High correlation |
Number of Persons Injured Per Ten Thousand Kms of Roads is highly correlated with Number of Accidents per Lakh Population and 6 other fields | High correlation |
Total Number of Road Accidents (in numbers) is highly correlated with Years and 14 other fields | High correlation |
Years is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Population of India (in thousands) is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Number of Persons Killed Per Ten Thousand Vehicles is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Total Number of Registered Motor Vehicles (in thousands) is highly correlated with Total Number of Road Accidents (in numbers) and 13 other fields | High correlation |
Number of Accidents Per Ten Thousand Kms of Roads is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Number of Persons Killed Per Lakh Population is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Number of Accidents per Ten Thousand Vehicles is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Total Number of Persons Killed (in numbers) is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Number of Accidents per Lakh Population is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Number of Persons Injured per Lakh Population is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Number of Persons Injured Per Ten Thousand Vehicles is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Number of Persons Injured Per Ten Thousand Kms of Roads is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Number of Persons Killed per Ten Thousand Kms of Roads is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Road Length (in kms) is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Total Number of Persons Injured (in numbers) is highly correlated with Total Number of Road Accidents (in numbers) and 13 other fields | High correlation |
Total Number of Registered Motor Vehicles (in thousands) has 2 (6.9%) missing values | Missing |
Road Length (in kms) has 2 (6.9%) missing values | Missing |
Number of Accidents per Lakh Population has 1 (3.4%) missing values | Missing |
Number of Accidents per Ten Thousand Vehicles has 2 (6.9%) missing values | Missing |
Number of Accidents Per Ten Thousand Kms of Roads has 2 (6.9%) missing values | Missing |
Number of Persons Killed Per Lakh Population has 1 (3.4%) missing values | Missing |
Number of Persons Killed Per Ten Thousand Vehicles has 2 (6.9%) missing values | Missing |
Number of Persons Killed per Ten Thousand Kms of Roads has 2 (6.9%) missing values | Missing |
Number of Persons Injured per Lakh Population has 2 (6.9%) missing values | Missing |
Number of Persons Injured Per Ten Thousand Vehicles has 2 (6.9%) missing values | Missing |
Number of Persons Injured Per Ten Thousand Kms of Roads has 2 (6.9%) missing values | Missing |
Years is uniformly distributed | Uniform |
Years has unique values | Unique |
Total Number of Road Accidents (in numbers) has unique values | Unique |
Total Number of Persons Killed (in numbers) has unique values | Unique |
Total Number of Persons Injured (in numbers) has unique values | Unique |
Population of India (in thousands) has unique values | Unique |
Reproduction
| Analysis started | 2021-09-30 06:34:24.592129 |
|---|---|
| Analysis finished | 2021-09-30 06:35:38.620652 |
| Duration | 1 minute and 14.03 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
| Distinct | 29 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 180.0 B |
| 1970 | 1 |
|---|---|
| 2006 | 1 |
| 2018 | 1 |
| 2017 | 1 |
| 2016 | 1 |
| Other values (24) |
Length
| Max length | 14 |
|---|---|
| Median length | 4 |
| Mean length | 4.344827586 |
| Min length | 4 |
Characters and Unicode
| Total characters | 126 |
|---|---|
| Distinct characters | 16 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 29 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 1970 |
|---|---|
| 2nd row | 1980 |
| 3rd row | 1990 |
| 4th row | 1994 |
| 5th row | 1995 |
Common Values
| Value | Count | Frequency (%) |
| 1970 | 1 | 3.4% |
| 2006 | 1 | 3.4% |
| 2018 | 1 | 3.4% |
| 2017 | 1 | 3.4% |
| 2016 | 1 | 3.4% |
| 2015 | 1 | 3.4% |
| 2014 | 1 | 3.4% |
| 2013 | 1 | 3.4% |
| 2012 | 1 | 3.4% |
| 2011 | 1 | 3.4% |
| Other values (19) | 19 |
Length
| Value | Count | Frequency (%) |
| 1970 | 1 | 3.3% |
| 1980 | 1 | 3.3% |
| cagr | 1 | 3.3% |
| 2018 | 1 | 3.3% |
| 2017 | 1 | 3.3% |
| 2016 | 1 | 3.3% |
| 2015 | 1 | 3.3% |
| 2014 | 1 | 3.3% |
| 2013 | 1 | 3.3% |
| 2012 | 1 | 3.3% |
| Other values (20) | 20 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 37 | |
| 2 | 23 | |
| 1 | 21 | |
| 9 | 18 | |
| 8 | 6 | 4.8% |
| 7 | 4 | 3.2% |
| 4 | 3 | 2.4% |
| 5 | 3 | 2.4% |
| 6 | 3 | 2.4% |
| 3 | 2 | 1.6% |
| Other values (6) | 6 | 4.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 120 | |
| Uppercase Letter | 4 | 3.2% |
| Space Separator | 1 | 0.8% |
| Other Punctuation | 1 | 0.8% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 37 | |
| 2 | 23 | |
| 1 | 21 | |
| 9 | 18 | |
| 8 | 6 | 5.0% |
| 7 | 4 | 3.3% |
| 4 | 3 | 2.5% |
| 5 | 3 | 2.5% |
| 6 | 3 | 2.5% |
| 3 | 2 | 1.7% |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 1 | |
| A | 1 | |
| G | 1 | |
| R | 1 |
Space Separator
| Value | Count | Frequency (%) |
| 1 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 122 | |
| Latin | 4 | 3.2% |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 37 | |
| 2 | 23 | |
| 1 | 21 | |
| 9 | 18 | |
| 8 | 6 | 4.9% |
| 7 | 4 | 3.3% |
| 4 | 3 | 2.5% |
| 5 | 3 | 2.5% |
| 6 | 3 | 2.5% |
| 3 | 2 | 1.6% |
| Other values (2) | 2 | 1.6% |
Latin
| Value | Count | Frequency (%) |
| C | 1 | |
| A | 1 | |
| G | 1 | |
| R | 1 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 126 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 37 | |
| 2 | 23 | |
| 1 | 21 | |
| 9 | 18 | |
| 8 | 6 | 4.8% |
| 7 | 4 | 3.2% |
| 4 | 3 | 2.4% |
| 5 | 3 | 2.4% |
| 6 | 3 | 2.4% |
| 3 | 2 | 1.6% |
| Other values (6) | 6 | 4.8% |
Total Number of Road Accidents (in numbers)
Real number (ℝ)
HIGH CORRELATIONHIGH CORRELATIONUNIQUE| Distinct | 29 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 397014.1941 |
| Minimum | -0.37 |
|---|---|
| Maximum | 501423 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 1 |
| Negative (%) | 3.4% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | -0.37 |
|---|---|
| 5-th percentile | 129740 |
| Q1 | 373671 |
| median | 429910 |
| Q3 | 484704 |
| 95-th percentile | 498851.2 |
| Maximum | 501423 |
| Range | 501423.37 |
| Interquartile range (IQR) | 111033 |
Descriptive statistics
| Standard deviation | 122733.2822 |
|---|---|
| Coefficient of variation (CV) | 0.3091407914 |
| Kurtosis | 3.635855801 |
| Mean | 397014.1941 |
| Median Absolute Deviation (MAD) | 56239 |
| Skewness | -1.920924967 |
| Sum | 11513411.63 |
| Variance | 1.506345856 × 1010 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 114100 | 1 | 3.4% |
| 460920 | 1 | 3.4% |
| 467044 | 1 | 3.4% |
| 464910 | 1 | 3.4% |
| 480652 | 1 | 3.4% |
| 501423 | 1 | 3.4% |
| 489400 | 1 | 3.4% |
| 486476 | 1 | 3.4% |
| 490383 | 1 | 3.4% |
| 497686 | 1 | 3.4% |
| Other values (19) | 19 |
| Value | Count | Frequency (%) |
| -0.37 | 1 | |
| 114100 | 1 | |
| 153200 | 1 | |
| 282600 | 1 | |
| 325864 | 1 | |
| 351999 | 1 | |
| 371204 | 1 | |
| 373671 | 1 | |
| 385018 | 1 | |
| 386456 | 1 |
| Value | Count | Frequency (%) |
| 501423 | 1 | |
| 499628 | 1 | |
| 497686 | 1 | |
| 490383 | 1 | |
| 489400 | 1 | |
| 486476 | 1 | |
| 486384 | 1 | |
| 484704 | 1 | |
| 480652 | 1 | |
| 479216 | 1 |
Total Number of Persons Killed (in numbers)
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONUNIQUE| Distinct | 29 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 97030.70207 |
| Minimum | 2.36 |
|---|---|
| Maximum | 151417 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 2.36 |
|---|---|
| 5-th percentile | 18300 |
| Q1 | 76977 |
| median | 92618 |
| Q3 | 137572 |
| 95-th percentile | 149636.2 |
| Maximum | 151417 |
| Range | 151414.64 |
| Interquartile range (IQR) | 60595 |
Descriptive statistics
| Standard deviation | 41688.1297 |
|---|---|
| Coefficient of variation (CV) | 0.4296385454 |
| Kurtosis | -0.199286475 |
| Mean | 97030.70207 |
| Median Absolute Deviation (MAD) | 28155 |
| Skewness | -0.5663237647 |
| Sum | 2813890.36 |
| Variance | 1737900158 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 14500 | 1 | 3.4% |
| 105749 | 1 | 3.4% |
| 151417 | 1 | 3.4% |
| 147913 | 1 | 3.4% |
| 150785 | 1 | 3.4% |
| 146133 | 1 | 3.4% |
| 139671 | 1 | 3.4% |
| 137572 | 1 | 3.4% |
| 138258 | 1 | 3.4% |
| 142485 | 1 | 3.4% |
| Other values (19) | 19 |
| Value | Count | Frequency (%) |
| 2.36 | 1 | |
| 14500 | 1 | |
| 24000 | 1 | |
| 54100 | 1 | |
| 64463 | 1 | |
| 70781 | 1 | |
| 74665 | 1 | |
| 76977 | 1 | |
| 78911 | 1 | |
| 79919 | 1 |
| Value | Count | Frequency (%) |
| 151417 | 1 | |
| 150785 | 1 | |
| 147913 | 1 | |
| 146133 | 1 | |
| 142485 | 1 | |
| 139671 | 1 | |
| 138258 | 1 | |
| 137572 | 1 | |
| 134513 | 1 | |
| 125660 | 1 |
Total Number of Persons Injured (in numbers)
Real number (ℝ)
HIGH CORRELATIONHIGH CORRELATIONUNIQUE| Distinct | 29 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 402427.9972 |
| Minimum | -1.08 |
|---|---|
| Maximum | 527512 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 1 |
| Negative (%) | 3.4% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | -1.08 |
|---|---|
| 5-th percentile | 85700 |
| Q1 | 375051 |
| median | 464521 |
| Q3 | 496481 |
| 95-th percentile | 520099 |
| Maximum | 527512 |
| Range | 527513.08 |
| Interquartile range (IQR) | 121430 |
Descriptive statistics
| Standard deviation | 139021.5881 |
|---|---|
| Coefficient of variation (CV) | 0.3454570482 |
| Kurtosis | 2.345492132 |
| Mean | 402427.9972 |
| Median Absolute Deviation (MAD) | 55810 |
| Skewness | -1.686182169 |
| Sum | 11670411.92 |
| Variance | 1.932700194 × 1010 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 70100 | 1 | 3.4% |
| 496481 | 1 | 3.4% |
| 469418 | 1 | 3.4% |
| 470975 | 1 | 3.4% |
| 494624 | 1 | 3.4% |
| 500279 | 1 | 3.4% |
| 493474 | 1 | 3.4% |
| 494893 | 1 | 3.4% |
| 509667 | 1 | 3.4% |
| 511394 | 1 | 3.4% |
| Other values (19) | 19 |
| Value | Count | Frequency (%) |
| -1.08 | 1 | |
| 70100 | 1 | |
| 109100 | 1 | |
| 244100 | 1 | |
| 311500 | 1 | |
| 323200 | 1 | |
| 369502 | 1 | |
| 375051 | 1 | |
| 378361 | 1 | |
| 390674 | 1 |
| Value | Count | Frequency (%) |
| 527512 | 1 | |
| 523193 | 1 | |
| 515458 | 1 | |
| 513340 | 1 | |
| 511394 | 1 | |
| 509667 | 1 | |
| 500279 | 1 | |
| 496481 | 1 | |
| 494893 | 1 | |
| 494624 | 1 |
| Distinct | 29 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1027087.871 |
| Minimum | 1.26 |
|---|---|
| Maximum | 1298043 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 1.26 |
|---|---|
| 5-th percentile | 592600 |
| Q1 | 959792 |
| median | 1079117 |
| Q3 | 1208116 |
| 95-th percentile | 1277745 |
| Maximum | 1298043 |
| Range | 1298041.74 |
| Interquartile range (IQR) | 248324 |
Descriptive statistics
| Standard deviation | 265660.0353 |
|---|---|
| Coefficient of variation (CV) | 0.2586536584 |
| Kurtosis | 7.400017491 |
| Mean | 1027087.871 |
| Median Absolute Deviation (MAD) | 128999 |
| Skewness | -2.360950242 |
| Sum | 29785548.26 |
| Variance | 7.057525438 × 1010 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 539000 | 1 | 3.4% |
| 1112186 | 1 | 3.4% |
| 1298043 | 1 | 3.4% |
| 1283601 | 1 | 3.4% |
| 1268961 | 1 | 3.4% |
| 1254019 | 1 | 3.4% |
| 1238887 | 1 | 3.4% |
| 1223581 | 1 | 3.4% |
| 1208116 | 1 | 3.4% |
| 1210193 | 1 | 3.4% |
| Other values (19) | 19 |
| Value | Count | Frequency (%) |
| 1.26 | 1 | |
| 539000 | 1 | |
| 673000 | 1 | |
| 835000 | 1 | |
| 904000 | 1 | |
| 924359 | 1 | |
| 941579 | 1 | |
| 959792 | 1 | |
| 978081 | 1 | |
| 996130 | 1 |
| Value | Count | Frequency (%) |
| 1298043 | 1 | |
| 1283601 | 1 | |
| 1268961 | 1 | |
| 1254019 | 1 | |
| 1238887 | 1 | |
| 1223581 | 1 | |
| 1210193 | 1 | |
| 1208116 | 1 | |
| 1176742 | 1 | |
| 1160813 | 1 |
Total Number of Registered Motor Vehicles (in thousands)
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 27 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 2 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 93544.37037 |
| Minimum | 1401 |
|---|---|
| Maximum | 253311 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 1401 |
|---|---|
| 5-th percentile | 8910.3 |
| Q1 | 39350 |
| median | 72718 |
| Q3 | 134806 |
| 95-th percentile | 224028.6 |
| Maximum | 253311 |
| Range | 251910 |
| Interquartile range (IQR) | 95456 |
Descriptive statistics
| Standard deviation | 71104.88244 |
|---|---|
| Coefficient of variation (CV) | 0.760119312 |
| Kurtosis | -0.3427760288 |
| Mean | 93544.37037 |
| Median Absolute Deviation (MAD) | 42233 |
| Skewness | 0.8025079011 |
| Sum | 2525698 |
| Variance | 5055904307 |
| Monotonicity | Strictly increasing |
| Value | Count | Frequency (%) |
| 4521 | 1 | 3.4% |
| 253311 | 1 | 3.4% |
| 230031 | 1 | 3.4% |
| 210023 | 1 | 3.4% |
| 190704 | 1 | 3.4% |
| 181508 | 1 | 3.4% |
| 159491 | 1 | 3.4% |
| 141866 | 1 | 3.4% |
| 127746 | 1 | 3.4% |
| 114951 | 1 | 3.4% |
| Other values (17) | 17 | |
| (Missing) | 2 | 6.9% |
| Value | Count | Frequency (%) |
| 1401 | 1 | |
| 4521 | 1 | |
| 19152 | 1 | |
| 27660 | 1 | |
| 30295 | 1 | |
| 33786 | 1 | |
| 37332 | 1 | |
| 41368 | 1 | |
| 44875 | 1 | |
| 48857 | 1 |
| Value | Count | Frequency (%) |
| 253311 | 1 | |
| 230031 | 1 | |
| 210023 | 1 | |
| 190704 | 1 | |
| 181508 | 1 | |
| 159491 | 1 | |
| 141866 | 1 | |
| 127746 | 1 | |
| 114951 | 1 | |
| 105353 | 1 |
| Distinct | 27 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 2 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3808985.963 |
| Minimum | 1188728 |
|---|---|
| Maximum | 5897671 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 1188728 |
|---|---|
| 5-th percentile | 1639471.2 |
| Q1 | 3262503 |
| median | 3621507 |
| Q3 | 4629638.5 |
| 95-th percentile | 5563948.3 |
| Maximum | 5897671 |
| Range | 4708943 |
| Interquartile range (IQR) | 1367135.5 |
Descriptive statistics
| Standard deviation | 1192628.587 |
|---|---|
| Coefficient of variation (CV) | 0.3131092103 |
| Kurtosis | -0.05678284517 |
| Mean | 3808985.963 |
| Median Absolute Deviation (MAD) | 646472 |
| Skewness | -0.2399128005 |
| Sum | 102842621 |
| Variance | 1.422362946 × 1012 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 1491873 | 1 | 3.4% |
| 5897671 | 1 | 3.4% |
| 5603293 | 1 | 3.4% |
| 5472144 | 1 | 3.4% |
| 5402486 | 1 | 3.4% |
| 5231922 | 1 | 3.4% |
| 4865394 | 1 | 3.4% |
| 4676838 | 1 | 3.4% |
| 4582439 | 1 | 3.4% |
| 4471510 | 1 | 3.4% |
| Other values (17) | 17 | |
| (Missing) | 2 | 6.9% |
| Value | Count | Frequency (%) |
| 1188728 | 1 | |
| 1491873 | 1 | |
| 1983867 | 1 | |
| 2890950 | 1 | |
| 2975035 | 1 | |
| 3202515 | 1 | |
| 3228356 | 1 | |
| 3296650 | 1 | |
| 3298788 | 1 | |
| 3316078 | 1 |
| Value | Count | Frequency (%) |
| 5897671 | 1 | |
| 5603293 | 1 | |
| 5472144 | 1 | |
| 5402486 | 1 | |
| 5231922 | 1 | |
| 4865394 | 1 | |
| 4676838 | 1 | |
| 4582439 | 1 | |
| 4471510 | 1 | |
| 4109592 | 1 |
Number of Accidents per Lakh Population
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 23 |
|---|---|
| Distinct (%) | 82.1% |
| Missing | 1 |
| Missing (%) | 3.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 38.04642857 |
| Minimum | 21.2 |
|---|---|
| Maximum | 42.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 21.2 |
|---|---|
| 5-th percentile | 26.65 |
| Q1 | 38.05 |
| median | 39.4 |
| Q3 | 40.225 |
| 95-th percentile | 42.43 |
| Maximum | 42.5 |
| Range | 21.3 |
| Interquartile range (IQR) | 2.175 |
Descriptive statistics
| Standard deviation | 4.982077667 |
|---|---|
| Coefficient of variation (CV) | 0.130947315 |
| Kurtosis | 6.894603279 |
| Mean | 38.04642857 |
| Median Absolute Deviation (MAD) | 1.25 |
| Skewness | -2.577756657 |
| Sum | 1065.3 |
| Variance | 24.82109788 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 39.4 | 3 | 10.3% |
| 42.5 | 2 | 6.9% |
| 36 | 2 | 6.9% |
| 39.8 | 2 | 6.9% |
| 21.2 | 1 | 3.4% |
| 36.2 | 1 | 3.4% |
| 37.9 | 1 | 3.4% |
| 40 | 1 | 3.4% |
| 39.5 | 1 | 3.4% |
| 40.6 | 1 | 3.4% |
| Other values (13) | 13 |
| Value | Count | Frequency (%) |
| 21.2 | 1 | |
| 22.8 | 1 | |
| 33.8 | 1 | |
| 36 | 2 | |
| 36.2 | 1 | |
| 37.9 | 1 | |
| 38.1 | 1 | |
| 38.3 | 1 | |
| 38.6 | 1 | |
| 38.8 | 1 |
| Value | Count | Frequency (%) |
| 42.5 | 2 | |
| 42.3 | 1 | |
| 41.9 | 1 | |
| 41.4 | 1 | |
| 41.1 | 1 | |
| 40.6 | 1 | |
| 40.1 | 1 | |
| 40 | 1 | |
| 39.8 | 2 | |
| 39.5 | 1 |
Number of Accidents per Ten Thousand Vehicles
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 27 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 2 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 101.1407407 |
| Minimum | 18.4 |
|---|---|
| Maximum | 814.4 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 18.4 |
|---|---|
| 5-th percentile | 21.8 |
| Q1 | 37.1 |
| median | 59.1 |
| Q3 | 96.6 |
| 95-th percentile | 281.51 |
| Maximum | 814.4 |
| Range | 796 |
| Interquartile range (IQR) | 59.5 |
Descriptive statistics
| Standard deviation | 155.8375566 |
|---|---|
| Coefficient of variation (CV) | 1.540799044 |
| Kurtosis | 18.17360799 |
| Mean | 101.1407407 |
| Median Absolute Deviation (MAD) | 28.4 |
| Skewness | 4.085261104 |
| Sum | 2730.8 |
| Variance | 24285.34405 |
| Monotonicity | Strictly decreasing |
| Value | Count | Frequency (%) |
| 338.9 | 1 | 3.4% |
| 18.4 | 1 | 3.4% |
| 20.9 | 1 | 3.4% |
| 23.9 | 1 | 3.4% |
| 25.7 | 1 | 3.4% |
| 26.8 | 1 | 3.4% |
| 30.7 | 1 | 3.4% |
| 35.1 | 1 | 3.4% |
| 39.1 | 1 | 3.4% |
| 42.3 | 1 | 3.4% |
| Other values (17) | 17 | |
| (Missing) | 2 | 6.9% |
| Value | Count | Frequency (%) |
| 18.4 | 1 | |
| 20.9 | 1 | |
| 23.9 | 1 | |
| 25.7 | 1 | |
| 26.8 | 1 | |
| 30.7 | 1 | |
| 35.1 | 1 | |
| 39.1 | 1 | |
| 42.3 | 1 | |
| 46 | 1 |
| Value | Count | Frequency (%) |
| 814.4 | 1 | |
| 338.9 | 1 | |
| 147.6 | 1 | |
| 117.8 | 1 | |
| 116.2 | 1 | |
| 109.9 | 1 | |
| 100.1 | 1 | |
| 93.1 | 1 | |
| 86.1 | 1 | |
| 80.1 | 1 |
Number of Accidents Per Ten Thousand Kms of Roads
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 27 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 2 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1098.214815 |
| Minimum | 788.3 |
|---|---|
| Maximum | 1424.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 788.3 |
|---|---|
| 5-th percentile | 872.23 |
| Q1 | 1017.4 |
| median | 1152.6 |
| Q3 | 1185.15 |
| 95-th percentile | 1199.61 |
| Maximum | 1424.5 |
| Range | 636.2 |
| Interquartile range (IQR) | 167.75 |
Descriptive statistics
| Standard deviation | 136.3298678 |
|---|---|
| Coefficient of variation (CV) | 0.124137706 |
| Kurtosis | 0.591243875 |
| Mean | 1098.214815 |
| Median Absolute Deviation (MAD) | 40.5 |
| Skewness | -0.3753836737 |
| Sum | 29651.8 |
| Variance | 18585.83285 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 1026.9 | 1 | 3.4% |
| 788.3 | 1 | 3.4% |
| 857.8 | 1 | 3.4% |
| 916.3 | 1 | 3.4% |
| 905.9 | 1 | 3.4% |
| 929.8 | 1 | 3.4% |
| 1007.9 | 1 | 3.4% |
| 1064.2 | 1 | 3.4% |
| 1090.3 | 1 | 3.4% |
| 1087.7 | 1 | 3.4% |
| Other values (17) | 17 | |
| (Missing) | 2 | 6.9% |
| Value | Count | Frequency (%) |
| 788.3 | 1 | |
| 857.8 | 1 | |
| 905.9 | 1 | |
| 916.3 | 1 | |
| 929.8 | 1 | |
| 959.8 | 1 | |
| 1007.9 | 1 | |
| 1026.9 | 1 | |
| 1064.2 | 1 | |
| 1087.7 | 1 |
| Value | Count | Frequency (%) |
| 1424.5 | 1 | |
| 1202.4 | 1 | |
| 1193.1 | 1 | |
| 1192.6 | 1 | |
| 1189.2 | 1 | |
| 1187.7 | 1 | |
| 1187.1 | 1 | |
| 1183.2 | 1 | |
| 1180.5 | 1 | |
| 1179.4 | 1 |
Number of Persons Killed Per Lakh Population
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 23 |
|---|---|
| Distinct (%) | 82.1% |
| Missing | 1 |
| Missing (%) | 3.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.067857143 |
| Minimum | 2.7 |
|---|---|
| Maximum | 11.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 2.7 |
|---|---|
| 5-th percentile | 4.615 |
| Q1 | 7.9 |
| median | 8.65 |
| Q3 | 11.325 |
| 95-th percentile | 11.765 |
| Maximum | 11.9 |
| Range | 9.2 |
| Interquartile range (IQR) | 3.425 |
Descriptive statistics
| Standard deviation | 2.387940934 |
|---|---|
| Coefficient of variation (CV) | 0.2633412609 |
| Kurtosis | 0.8767871476 |
| Mean | 9.067857143 |
| Median Absolute Deviation (MAD) | 1.7 |
| Skewness | -0.9052652892 |
| Sum | 253.9 |
| Variance | 5.702261905 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 11.7 | 2 | 6.9% |
| 7.9 | 2 | 6.9% |
| 8.2 | 2 | 6.9% |
| 8.1 | 2 | 6.9% |
| 11.4 | 2 | 6.9% |
| 2.7 | 1 | 3.4% |
| 10.5 | 1 | 3.4% |
| 11.5 | 1 | 3.4% |
| 11.9 | 1 | 3.4% |
| 11.3 | 1 | 3.4% |
| Other values (13) | 13 |
| Value | Count | Frequency (%) |
| 2.7 | 1 | |
| 3.6 | 1 | |
| 6.5 | 1 | |
| 7.1 | 1 | |
| 7.7 | 1 | |
| 7.8 | 1 | |
| 7.9 | 2 | |
| 8 | 1 | |
| 8.1 | 2 | |
| 8.2 | 2 |
| Value | Count | Frequency (%) |
| 11.9 | 1 | |
| 11.8 | 1 | |
| 11.7 | 2 | |
| 11.5 | 1 | |
| 11.4 | 2 | |
| 11.3 | 1 | |
| 11.2 | 1 | |
| 10.8 | 1 | |
| 10.5 | 1 | |
| 10.1 | 1 |
Number of Persons Killed Per Ten Thousand Vehicles
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 26 |
|---|---|
| Distinct (%) | 96.3% |
| Missing | 2 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 18.65555556 |
| Minimum | 5.8 |
|---|---|
| Maximum | 103.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 5.8 |
|---|---|
| 5-th percentile | 6.72 |
| Q1 | 10.25 |
| median | 12.7 |
| Q3 | 19.95 |
| 95-th percentile | 45.63 |
| Maximum | 103.5 |
| Range | 97.7 |
| Interquartile range (IQR) | 9.7 |
Descriptive statistics
| Standard deviation | 19.45334326 |
|---|---|
| Coefficient of variation (CV) | 1.042764082 |
| Kurtosis | 14.68034983 |
| Mean | 18.65555556 |
| Median Absolute Deviation (MAD) | 5.1 |
| Skewness | 3.610611813 |
| Sum | 503.7 |
| Variance | 378.4325641 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 11.8 | 2 | 6.9% |
| 11.7 | 1 | 3.4% |
| 5.8 | 1 | 3.4% |
| 6.6 | 1 | 3.4% |
| 7 | 1 | 3.4% |
| 7.3 | 1 | 3.4% |
| 7.6 | 1 | 3.4% |
| 8.7 | 1 | 3.4% |
| 10 | 1 | 3.4% |
| 10.5 | 1 | 3.4% |
| Other values (16) | 16 | |
| (Missing) | 2 | 6.9% |
| Value | Count | Frequency (%) |
| 5.8 | 1 | |
| 6.6 | 1 | |
| 7 | 1 | |
| 7.3 | 1 | |
| 7.6 | 1 | |
| 8.7 | 1 | |
| 10 | 1 | |
| 10.5 | 1 | |
| 10.9 | 1 | |
| 11.4 | 1 |
| Value | Count | Frequency (%) |
| 103.5 | 1 | |
| 53.1 | 1 | |
| 28.2 | 1 | |
| 23.4 | 1 | |
| 23.3 | 1 | |
| 22.1 | 1 | |
| 20.6 | 1 | |
| 19.3 | 1 | |
| 18.3 | 1 | |
| 16.2 | 1 |
Number of Persons Killed per Ten Thousand Kms of Roads
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 27 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 2 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 250.8703704 |
| Minimum | 122 |
|---|---|
| Maximum | 304.7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 122 |
|---|---|
| 5-th percentile | 179.53 |
| Q1 | 238.9 |
| median | 250.8 |
| Q3 | 272.6 |
| 95-th percentile | 292.96 |
| Maximum | 304.7 |
| Range | 182.7 |
| Interquartile range (IQR) | 33.7 |
Descriptive statistics
| Standard deviation | 38.21278295 |
|---|---|
| Coefficient of variation (CV) | 0.1523208296 |
| Kurtosis | 4.818768017 |
| Mean | 250.8703704 |
| Median Absolute Deviation (MAD) | 17.5 |
| Skewness | -1.837971221 |
| Sum | 6773.5 |
| Variance | 1460.216781 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 160.9 | 1 | 3.4% |
| 250.8 | 1 | 3.4% |
| 269.1 | 1 | 3.4% |
| 267 | 1 | 3.4% |
| 258.5 | 1 | 3.4% |
| 262.9 | 1 | 3.4% |
| 284.2 | 1 | 3.4% |
| 304.7 | 1 | 3.4% |
| 293.5 | 1 | 3.4% |
| 281 | 1 | 3.4% |
| Other values (17) | 17 | |
| (Missing) | 2 | 6.9% |
| Value | Count | Frequency (%) |
| 122 | 1 | |
| 160.9 | 1 | |
| 223 | 1 | |
| 233.1 | 1 | |
| 233.3 | 1 | |
| 237.9 | 1 | |
| 238 | 1 | |
| 239.8 | 1 | |
| 243.7 | 1 | |
| 247.1 | 1 |
| Value | Count | Frequency (%) |
| 304.7 | 1 | |
| 293.5 | 1 | |
| 291.7 | 1 | |
| 284.9 | 1 | |
| 284.2 | 1 | |
| 281 | 1 | |
| 272.7 | 1 | |
| 272.5 | 1 | |
| 269.1 | 1 | |
| 267 | 1 |
Number of Persons Injured per Lakh Population
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 25 |
|---|---|
| Distinct (%) | 92.6% |
| Missing | 2 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 38.18148148 |
| Minimum | 13 |
|---|---|
| Maximum | 45.7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 13 |
|---|---|
| 5-th percentile | 20.1 |
| Q1 | 37.2 |
| median | 39.8 |
| Q3 | 42.4 |
| 95-th percentile | 45.29 |
| Maximum | 45.7 |
| Range | 32.7 |
| Interquartile range (IQR) | 5.2 |
Descriptive statistics
| Standard deviation | 7.75643837 |
|---|---|
| Coefficient of variation (CV) | 0.2031466059 |
| Kurtosis | 5.391180266 |
| Mean | 38.18148148 |
| Median Absolute Deviation (MAD) | 2.7 |
| Skewness | -2.26214886 |
| Sum | 1030.9 |
| Variance | 60.16233618 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 39.4 | 2 | 6.9% |
| 39.9 | 2 | 6.9% |
| 44.6 | 1 | 3.4% |
| 36.2 | 1 | 3.4% |
| 36.7 | 1 | 3.4% |
| 39.8 | 1 | 3.4% |
| 40.4 | 1 | 3.4% |
| 42.2 | 1 | 3.4% |
| 42.3 | 1 | 3.4% |
| 44.8 | 1 | 3.4% |
| Other values (15) | 15 | |
| (Missing) | 2 | 6.9% |
| Value | Count | Frequency (%) |
| 13 | 1 | |
| 16.2 | 1 | |
| 29.2 | 1 | |
| 34.5 | 1 | |
| 35 | 1 | |
| 36.2 | 1 | |
| 36.7 | 1 | |
| 37.7 | 1 | |
| 39.1 | 1 | |
| 39.2 | 1 |
| Value | Count | Frequency (%) |
| 45.7 | 1 | |
| 45.5 | 1 | |
| 44.8 | 1 | |
| 44.6 | 1 | |
| 44.4 | 1 | |
| 43 | 1 | |
| 42.5 | 1 | |
| 42.3 | 1 | |
| 42.2 | 1 | |
| 41 | 1 |
Number of Persons Injured Per Ten Thousand Vehicles
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 27 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 2 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 85.82962963 |
| Minimum | 18.6 |
|---|---|
| Maximum | 500.4 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 18.6 |
|---|---|
| 5-th percentile | 22.19 |
| Q1 | 38.65 |
| median | 63.9 |
| Q3 | 97.9 |
| 95-th percentile | 207.16 |
| Maximum | 500.4 |
| Range | 481.8 |
| Interquartile range (IQR) | 59.25 |
Descriptive statistics
| Standard deviation | 94.83907753 |
|---|---|
| Coefficient of variation (CV) | 1.104968971 |
| Kurtosis | 14.72887245 |
| Mean | 85.82962963 |
| Median Absolute Deviation (MAD) | 30.5 |
| Skewness | 3.569666185 |
| Sum | 2317.4 |
| Variance | 8994.450627 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 241.3 | 1 | 3.4% |
| 18.6 | 1 | 3.4% |
| 21.5 | 1 | 3.4% |
| 23.8 | 1 | 3.4% |
| 25.9 | 1 | 3.4% |
| 27.3 | 1 | 3.4% |
| 32 | 1 | 3.4% |
| 36 | 1 | 3.4% |
| 41.3 | 1 | 3.4% |
| 44.8 | 1 | 3.4% |
| Other values (17) | 17 | |
| (Missing) | 2 | 6.9% |
| Value | Count | Frequency (%) |
| 18.6 | 1 | |
| 21.5 | 1 | |
| 23.8 | 1 | |
| 25.9 | 1 | |
| 27.3 | 1 | |
| 32 | 1 | |
| 36 | 1 | |
| 41.3 | 1 | |
| 44.8 | 1 | |
| 49.7 | 1 |
| Value | Count | Frequency (%) |
| 500.4 | 1 | |
| 241.3 | 1 | |
| 127.5 | 1 | |
| 112.6 | 1 | |
| 109.4 | 1 | |
| 106.7 | 1 | |
| 101.4 | 1 | |
| 94.4 | 1 | |
| 83.6 | 1 | |
| 81.7 | 1 |
Number of Persons Injured Per Ten Thousand Kms of Roads
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 27 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 2 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1089.985185 |
| Minimum | 589.7 |
|---|---|
| Maximum | 1282.7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 589.7 |
|---|---|
| 5-th percentile | 751.49 |
| Q1 | 996.7 |
| median | 1151.2 |
| Q3 | 1215.8 |
| 95-th percentile | 1279.01 |
| Maximum | 1282.7 |
| Range | 693 |
| Interquartile range (IQR) | 219.1 |
Descriptive statistics
| Standard deviation | 181.7363828 |
|---|---|
| Coefficient of variation (CV) | 0.1667328926 |
| Kurtosis | 0.9499366285 |
| Mean | 1089.985185 |
| Median Absolute Deviation (MAD) | 79.2 |
| Skewness | -1.228923215 |
| Sum | 29429.6 |
| Variance | 33028.11285 |
| Monotonicity | Not monotonic |
| Value | Count | Frequency (%) |
| 731.3 | 1 | 3.4% |
| 798.6 | 1 | 3.4% |
| 882.7 | 1 | 3.4% |
| 914.2 | 1 | 3.4% |
| 913.4 | 1 | 3.4% |
| 945.9 | 1 | 3.4% |
| 1047.5 | 1 | 3.4% |
| 1093.5 | 1 | 3.4% |
| 1151.2 | 1 | 3.4% |
| 1152.8 | 1 | 3.4% |
| Other values (17) | 17 | |
| (Missing) | 2 | 6.9% |
| Value | Count | Frequency (%) |
| 589.7 | 1 | |
| 731.3 | 1 | |
| 798.6 | 1 | |
| 882.7 | 1 | |
| 913.4 | 1 | |
| 914.2 | 1 | |
| 945.9 | 1 | |
| 1047.5 | 1 | |
| 1077.5 | 1 | |
| 1086.4 | 1 |
| Value | Count | Frequency (%) |
| 1282.7 | 1 | |
| 1279.4 | 1 | |
| 1278.1 | 1 | |
| 1273.1 | 1 | |
| 1233.1 | 1 | |
| 1230.4 | 1 | |
| 1221.5 | 1 | |
| 1210.1 | 1 | |
| 1204 | 1 | |
| 1201.2 | 1 |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.First rows
| Years | Total Number of Road Accidents (in numbers) | Total Number of Persons Killed (in numbers) | Total Number of Persons Injured (in numbers) | Population of India (in thousands) | Total Number of Registered Motor Vehicles (in thousands) | Road Length (in kms) | Number of Accidents per Lakh Population | Number of Accidents per Ten Thousand Vehicles | Number of Accidents Per Ten Thousand Kms of Roads | Number of Persons Killed Per Lakh Population | Number of Persons Killed Per Ten Thousand Vehicles | Number of Persons Killed per Ten Thousand Kms of Roads | Number of Persons Injured per Lakh Population | Number of Persons Injured Per Ten Thousand Vehicles | Number of Persons Injured Per Ten Thousand Kms of Roads | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1970 | 114100.0 | 14500.0 | 70100.0 | 539000.0 | 1401.0 | 1188728.0 | 21.2 | 814.4 | 959.8 | 2.7 | 103.5 | 122.0 | 13.0 | 500.4 | 589.7 |
| 1 | 1980 | 153200.0 | 24000.0 | 109100.0 | 673000.0 | 4521.0 | 1491873.0 | 22.8 | 338.9 | 1026.9 | 3.6 | 53.1 | 160.9 | 16.2 | 241.3 | 731.3 |
| 2 | 1990 | 282600.0 | 54100.0 | 244100.0 | 835000.0 | 19152.0 | 1983867.0 | 33.8 | 147.6 | 1424.5 | 6.5 | 28.2 | 272.7 | 29.2 | 127.5 | 1230.4 |
| 3 | 1994 | 325864.0 | 64463.0 | 311500.0 | 904000.0 | 27660.0 | 2890950.0 | 36.0 | 117.8 | 1127.2 | 7.1 | 23.3 | 223.0 | 34.5 | 112.6 | 1077.5 |
| 4 | 1995 | 351999.0 | 70781.0 | 323200.0 | 924359.0 | 30295.0 | 2975035.0 | 38.1 | 116.2 | 1183.2 | 7.7 | 23.4 | 237.9 | 35.0 | 106.7 | 1086.4 |
| 5 | 1996 | 371204.0 | 74665.0 | 369502.0 | 941579.0 | 33786.0 | 3202515.0 | 39.4 | 109.9 | 1159.1 | 7.9 | 22.1 | 233.1 | 39.2 | 109.4 | 1153.8 |
| 6 | 1997 | 373671.0 | 76977.0 | 378361.0 | 959792.0 | 37332.0 | 3298788.0 | 38.9 | 100.1 | 1132.8 | 8.0 | 20.6 | 233.3 | 39.4 | 101.4 | 1147.0 |
| 7 | 1998 | 385018.0 | 79919.0 | 390674.0 | 978081.0 | 41368.0 | 3228356.0 | 39.4 | 93.1 | 1192.6 | 8.2 | 19.3 | 247.6 | 39.9 | 94.4 | 1210.1 |
| 8 | 1999 | 386456.0 | 81966.0 | 375051.0 | 996130.0 | 44875.0 | 3296650.0 | 38.8 | 86.1 | 1172.3 | 8.2 | 18.3 | 248.6 | 37.7 | 83.6 | 1137.7 |
| 9 | 2000 | 391449.0 | 78911.0 | 399265.0 | 1014825.0 | 48857.0 | 3316078.0 | 38.6 | 80.1 | 1180.5 | 7.8 | 16.2 | 238.0 | 39.3 | 81.7 | 1204.0 |
Last rows
| Years | Total Number of Road Accidents (in numbers) | Total Number of Persons Killed (in numbers) | Total Number of Persons Injured (in numbers) | Population of India (in thousands) | Total Number of Registered Motor Vehicles (in thousands) | Road Length (in kms) | Number of Accidents per Lakh Population | Number of Accidents per Ten Thousand Vehicles | Number of Accidents Per Ten Thousand Kms of Roads | Number of Persons Killed Per Lakh Population | Number of Persons Killed Per Ten Thousand Vehicles | Number of Persons Killed per Ten Thousand Kms of Roads | Number of Persons Injured per Lakh Population | Number of Persons Injured Per Ten Thousand Vehicles | Number of Persons Injured Per Ten Thousand Kms of Roads | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 19 | 2010 | 499628.00 | 134513.00 | 527512.00 | 1176742.00 | 127746.0 | 4582439.0 | 42.5 | 39.1 | 1090.3 | 11.4 | 10.5 | 293.5 | 44.8 | 41.3 | 1151.2 |
| 20 | 2011 | 497686.00 | 142485.00 | 511394.00 | 1210193.00 | 141866.0 | 4676838.0 | 41.1 | 35.1 | 1064.2 | 11.8 | 10.0 | 304.7 | 42.3 | 36.0 | 1093.5 |
| 21 | 2012 | 490383.00 | 138258.00 | 509667.00 | 1208116.00 | 159491.0 | 4865394.0 | 40.6 | 30.7 | 1007.9 | 11.4 | 8.7 | 284.2 | 42.2 | 32.0 | 1047.5 |
| 22 | 2013 | 486476.00 | 137572.00 | 494893.00 | 1223581.00 | 181508.0 | 5231922.0 | 39.8 | 26.8 | 929.8 | 11.2 | 7.6 | 262.9 | 40.4 | 27.3 | 945.9 |
| 23 | 2014 | 489400.00 | 139671.00 | 493474.00 | 1238887.00 | 190704.0 | 5402486.0 | 39.5 | 25.7 | 905.9 | 11.3 | 7.3 | 258.5 | 39.8 | 25.9 | 913.4 |
| 24 | 2015 | 501423.00 | 146133.00 | 500279.00 | 1254019.00 | 210023.0 | 5472144.0 | 40.0 | 23.9 | 916.3 | 11.7 | 7.0 | 267.0 | 39.9 | 23.8 | 914.2 |
| 25 | 2016 | 480652.00 | 150785.00 | 494624.00 | 1268961.00 | 230031.0 | 5603293.0 | 37.9 | 20.9 | 857.8 | 11.9 | 6.6 | 269.1 | 36.7 | 21.5 | 882.7 |
| 26 | 2017 | 464910.00 | 147913.00 | 470975.00 | 1283601.00 | 253311.0 | 5897671.0 | 36.2 | 18.4 | 788.3 | 11.5 | 5.8 | 250.8 | 36.2 | 18.6 | 798.6 |
| 27 | 2018 | 467044.00 | 151417.00 | 469418.00 | 1298043.00 | NaN | NaN | 36.0 | NaN | NaN | 11.7 | NaN | NaN | NaN | NaN | NaN |
| 28 | CAGR 2008/2018 | -0.37 | 2.36 | -1.08 | 1.26 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |